Build AI Agents with Flowise

Build Visual AI Agents with Flowise and No-Code Tools

Cyrus Fontaine

• Publisher: Chiify
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9798259604759
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Build AI agents no-code Flowise visual blocks LLM chatbots automations. Create powerful AI workflows without writing a single line of code. This project-based guide teaches you to assemble working LLM agents, chatbots, and automations by connecting blocks visually. Starting from the basics, you'll learn to set up Flowise, design conversation flows, integrate APIs, and deploy production-ready AI solutions. Each chapter builds on the last, with hands-on projects that include a customer support chatbot, a document analysis agent, and a multi-step automation pipeline. You'll master prompt engineering, memory management, tool integration, and error handling—all through a visual interface. By the end, you'll be able to prototype and launch custom AI agents for any business need. Whether you're a beginner or an experienced developer, this book turns complex AI concepts into accessible, visual building blocks. [placeholder] and [placeholder] have written on similar topics, but this book focuses exclusively on the no-code, visual approach with Flowise. What You'll Learn Set up Flowise and navigate its visual interface Design and deploy LLM agents for real-world tasks Build chatbots with memory and context Create automations that connect multiple AI models Integrate external APIs and data sources Optimize prompts and manage model outputs Who This Book Is For No-code enthusiasts, entrepreneurs, product managers, and developers who want to build AI agents without coding. Perfect for beginners and professionals seeking a visual, project-based learning path.

Table of contents

• Build AI Agents with Flowise
• Build AI Agents with Flowise
• Preface
• Chapter 1 — Why AI Agents Matter (and Why You Can Build One Today)
• Chapter 2 — Your First Agent in 30 Minutes
• Chapter 3 — Flowise close look: The Visual Builder Unpacked
• Chapter 4 — LLMs Unpacked: Choosing and Configuring the Brain
• Chapter 5 — Designing Conversations: Prompts, Context, and Tone
• Chapter 6 — Feeding Your Agent Knowledge: Data Sources and Chunking
• Chapter 7 — Building the FAQ Bot (Part 1): Core Logic and RAG
• Chapter 8 — Adding Memory: Making Your Agent Context-Aware
• Chapter 9 — Handling Errors and Edge Cases Gracefully
• Chapter 10 — Automating Business Tasks: From Answers to Actions
• Chapter 11 — Integrating with External Tools: APIs and Webhooks
• Chapter 12 — Building the Customer Support Agent (Part 2): Multi-Turn Conversations
• Chapter 13 — Advanced Agents: Decision Trees and Conditional Logic
• Chapter 14 — Deploying Your Agent: Web, Slack, Email, and More
• Chapter 15 — Monitoring and Improving Performance
• Chapter 16 — Testing and Quality Assurance for AI Agents
• Chapter 17 — Scaling and Collaboration
• Chapter 18 — Future-Proofing: Trends, Ethics, and Next Steps
• About the Author